{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Automated ML for time series predicion"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We used one of the dataset in [Numenta Anomaly Benchmark (NAB)](https://github.com/numenta/NAB) for demo, i.e. NYC taxi passengers dataset, which contains 10320 records, each indicating the total number of taxi passengers in NYC at a corresonponding time spot. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 0. Helper function definations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# plot the predicted values and actual values (for the test data)\n",
    "def plot_result(test_df, pred_df, dt_col=\"timestamp\", value_col=\"value\", past_seq_len=1):\n",
    "    # target column of dataframe is \"value\"\n",
    "    # default past sequence length is 1\n",
    "    pred_value = pred_df[value_col].values\n",
    "    true_value = test_df[value_col].values[past_seq_len:]\n",
    "    fig, axs = plt.subplots(figsize=(12, 5))\n",
    "\n",
    "    axs.plot(pred_df[dt_col], pred_value, color='red', label='predicted values')\n",
    "    axs.plot(test_df[dt_col][past_seq_len:], true_value, color='blue', label='actual values')\n",
    "    axs.set_title('the predicted values and actual values (for the test data)')\n",
    "\n",
    "    plt.xlabel(dt_col)\n",
    "    plt.xticks(rotation=45)\n",
    "    plt.ylabel('number of taxi passengers')\n",
    "    plt.legend(loc='upper left')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# plot results of multi step forecasting\n",
    "# plot at most five values for better view\n",
    "# plot the predicted values and actual values (for the test data)\n",
    "def plot_less_five_step_result(test_df, pred_df, dt_col=\"timestamp\", value_col=\"value\", past_seq_len=1):\n",
    "    fig, axs = plt.subplots(figsize=(12, 5))\n",
    "    target_value = test_df[value_col].values[past_seq_len:]\n",
    "    axs.plot(test_df[dt_col][past_seq_len:], target_value, color='blue', label='actual values')\n",
    "\n",
    "    value_cols=[\"{}_{}\".format(value_col, i) for i in range(min(pred_df.shape[1] - 1, 5))]\n",
    "    time_delta = pred_df[dt_col][1] - pred_df[dt_col][0]\n",
    "    plot_color = [\"g\", \"r\", \"c\", \"m\", \"y\"]\n",
    "    for i in range(len(value_cols)):\n",
    "        pred_value = pred_df[value_cols[i]].values\n",
    "        pred_dt = pred_df[dt_col].values + time_delta * i\n",
    "        axs.plot(pred_dt, pred_value, color=plot_color[i], label='predicted values' + str(i))\n",
    "\n",
    "    axs.set_title('the predicted values and actual values (for the test data)')\n",
    "\n",
    "    plt.xlabel(dt_col)\n",
    "    plt.xticks(rotation=45)\n",
    "    plt.ylabel('number of taxi passengers')\n",
    "    plt.legend(loc='upper left')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# plot results of multi step forecasting\n",
    "# plot result of multi step forecasting\n",
    "# plot the predicted values and actual values (for the test data)\n",
    "def plot_first_last_step_result(test_df, pred_df, dt_col=\"timestamp\", value_col=\"value\", past_seq_len=1):\n",
    "    fig, axs = plt.subplots(figsize=(12, 5))\n",
    "    target_value = test_df[value_col].values[past_seq_len:]\n",
    "    axs.plot(test_df[dt_col][past_seq_len:], target_value, color='blue', label='actual values')\n",
    "\n",
    "    value_cols=[\"{}_{}\".format(value_col, i) for i in range(pred_df.shape[1] - 1)]\n",
    "    time_delta = pred_df[dt_col][1] - pred_df[dt_col][0]\n",
    "  \n",
    "    pred_value_first = pred_df[value_cols[0]].values\n",
    "    pred_dt_first = pred_df[dt_col].values\n",
    "    axs.plot(pred_dt_first, pred_value_first, color=\"g\", label='first predicted values')\n",
    " \n",
    "    pred_value_last = pred_df[value_cols[-1]].values\n",
    "    pred_dt_last = pred_df[dt_col].values + time_delta * (len(value_cols)-1)\n",
    "    axs.plot(pred_dt_last, pred_value_last, color=\"r\", label='last predicted values')\n",
    "\n",
    "    axs.set_title('the predicted values and actual values (for the test data)')\n",
    "\n",
    "    plt.xlabel(dt_col)\n",
    "    plt.xticks(rotation=45)\n",
    "    plt.ylabel('number of taxi passengers')\n",
    "    plt.legend(loc='upper left')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. load data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "import matplotlib\n",
    "matplotlib.use('Agg')\n",
    "%pylab inline\n",
    "import matplotlib.dates as md\n",
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we download the dataset and load it into a pandas dataframe.\n",
    "Run the script `$ANALYTICS_ZOO_HOME/dist/bin/data/NAB/nyc_taxi/get_nyc_taxi.sh` to download the raw data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# load nyc taxi data\n",
    "try:\n",
    "    dataset_path = os.getenv(\"ANALYTICS_ZOO_HOME\")+\"/bin/data/NAB/nyc_taxi/nyc_taxi.csv\"\n",
    "    raw_df = pd.read_csv(dataset_path)\n",
    "except Exception as e:\n",
    "    print(\"nyc_taxi.csv doesn't exist\")\n",
    "    print(\"you can run $ANALYTICS_ZOO_HOME/bin/data/NAB/nyc_taxi/get_nyc_taxi.sh to download nyc_taxi.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Below are some example records of the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2014-07-01 00:00:00</td>\n",
       "      <td>10844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2014-07-01 00:30:00</td>\n",
       "      <td>8127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2014-07-01 01:00:00</td>\n",
       "      <td>6210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2014-07-01 01:30:00</td>\n",
       "      <td>4656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2014-07-01 02:00:00</td>\n",
       "      <td>3820</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             timestamp  value\n",
       "0  2014-07-01 00:00:00  10844\n",
       "1  2014-07-01 00:30:00   8127\n",
       "2  2014-07-01 01:00:00   6210\n",
       "3  2014-07-01 01:30:00   4656\n",
       "4  2014-07-01 02:00:00   3820"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_df.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Convert string timestamp to TimeStamp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2014-07-01 00:00:00</td>\n",
       "      <td>10844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2014-07-01 00:30:00</td>\n",
       "      <td>8127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2014-07-01 01:00:00</td>\n",
       "      <td>6210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2014-07-01 01:30:00</td>\n",
       "      <td>4656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2014-07-01 02:00:00</td>\n",
       "      <td>3820</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            timestamp  value\n",
       "0 2014-07-01 00:00:00  10844\n",
       "1 2014-07-01 00:30:00   8127\n",
       "2 2014-07-01 01:00:00   6210\n",
       "3 2014-07-01 01:30:00   4656\n",
       "4 2014-07-01 02:00:00   3820"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(pd.to_datetime(raw_df.timestamp))\n",
    "df[\"value\"] = raw_df[\"value\"]\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can use train_val_test_split to split the whole dataset into train/val/test sets. There will be two columns in the output dataframe: \"timestamp\" and \"value\", where the data type of \"timestamp\" column is datetime64."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "from zoo.automl.common.util import train_val_test_split\n",
    "train_df, val_df, test_df = train_val_test_split(df, val_ratio=0.1, test_ratio=0.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>8256.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>15421.585514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>6871.989592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1431.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>11040.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>17014.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>20032.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>39197.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              value\n",
       "count   8256.000000\n",
       "mean   15421.585514\n",
       "std     6871.989592\n",
       "min     1431.000000\n",
       "25%    11040.000000\n",
       "50%    17014.500000\n",
       "75%    20032.250000\n",
       "max    39197.000000"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2014-07-01 00:00:00</td>\n",
       "      <td>10844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2014-07-01 00:30:00</td>\n",
       "      <td>8127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2014-07-01 01:00:00</td>\n",
       "      <td>6210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2014-07-01 01:30:00</td>\n",
       "      <td>4656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2014-07-01 02:00:00</td>\n",
       "      <td>3820</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            timestamp  value\n",
       "0 2014-07-01 00:00:00  10844\n",
       "1 2014-07-01 00:30:00   8127\n",
       "2 2014-07-01 01:00:00   6210\n",
       "3 2014-07-01 01:30:00   4656\n",
       "4 2014-07-01 02:00:00   3820"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The shape of train_df is (8256, 2)\n",
      "The shape of val_df is (1032, 2)\n",
      "The shape of test_df is (1032, 2)\n"
     ]
    }
   ],
   "source": [
    "# shape of the dataframe\n",
    "print(\"The shape of train_df is\", train_df.shape)\n",
    "print(\"The shape of val_df is\", val_df.shape)\n",
    "print(\"The shape of test_df is\", test_df.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No handles with labels found to put in legend.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualisation of anomaly throughout time in train_df\n",
    "from pandas.plotting import register_matplotlib_converters\n",
    "register_matplotlib_converters()\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(12, 5))\n",
    "# pd.plotting.deregister_matplotlib_converters()\n",
    "\n",
    "ax.plot(train_df['timestamp'], train_df['value'], color='blue', linewidth=0.6)\n",
    "ax.set_title('NYC taxi passengers throughout time')\n",
    "\n",
    "plt.xlabel('timestamp')\n",
    "plt.xticks(rotation=45) \n",
    "plt.ylabel('The Number of NYC taxi passengers')\n",
    "plt.legend(loc='upper left')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Train and validation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can use analytices zoo automl to predict time series data by simply define a `TimeSequencePredictor`. \n",
    "\n",
    "We use feature tools to generate features from the given datetime. The generated features are \\['HOUR', 'DAY', 'MONTH'. 'IS_AWAKE', 'IS_BUSY_HOURS'\\]. Our feature space comprises these generated features as well as the original inputs such as \\['datetime','value','extra_features'\\].  \n",
    "\n",
    "Currently, We use RNN to learn from 50 previous values, and predict just the 1 next value. You can specify the sequence length to predict while creating `TimeSequencePredictor` with arg: `future_seq_len`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# build time sequence predictor\n",
    "from zoo.automl.regression.time_sequence_predictor import *\n",
    "\n",
    "# you need to specify the name of datetime column and target column\n",
    "# The default names are \"timestamp\" and \"value\" respectively.\n",
    "tsp = TimeSequencePredictor(name=\"nyc_taxi_1next\",\n",
    "                            logs_dir=\"~/zoo_automl_logs\",\n",
    "                            dt_col=\"timestamp\",\n",
    "                            target_col=\"value\",\n",
    "                            extra_features_col=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Current pyspark location is : /home/junweid/spark-2.4.3/spark-2.4.3-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/__init__.py\n",
      "Start to getOrCreate SparkContext\n",
      "pyspark_submit_args is:  --driver-class-path /home/junweid/analytics-zoo-master/zoo/target/analytics-zoo-bigdl_0.10.0-spark_2.4.3-0.9.0-SNAPSHOT-jar-with-dependencies.jar pyspark-shell \n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-10-27 17:20:14,133\tINFO resource_spec.py:212 -- Starting Ray with 75.83 GiB memory available for workers and up to 0.93 GiB for objects. You can adjust these settings with ray.init(memory=<bytes>, object_store_memory=<bytes>).\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Successfully got a SparkContext\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-10-27 17:20:14,510\tINFO services.py:1148 -- View the Ray dashboard at \u001b[1m\u001b[32mlocalhost:8265\u001b[39m\u001b[22m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'node_ip_address': '10.239.44.126', 'redis_address': '10.239.44.126:14108', 'object_store_address': '/tmp/ray/session_2020-10-27_17-20-14_131698_25890/sockets/plasma_store', 'raylet_socket_name': '/tmp/ray/session_2020-10-27_17-20-14_131698_25890/sockets/raylet', 'webui_url': 'localhost:8265', 'session_dir': '/tmp/ray/session_2020-10-27_17-20-14_131698_25890'}\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'node_ip_address': '10.239.44.126',\n",
       " 'redis_address': '10.239.44.126:14108',\n",
       " 'object_store_address': '/tmp/ray/session_2020-10-27_17-20-14_131698_25890/sockets/plasma_store',\n",
       " 'raylet_socket_name': '/tmp/ray/session_2020-10-27_17-20-14_131698_25890/sockets/raylet',\n",
       " 'webui_url': 'localhost:8265',\n",
       " 'session_dir': '/tmp/ray/session_2020-10-27_17-20-14_131698_25890'}"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from zoo import init_spark_on_local\n",
    "from zoo.ray import RayContext\n",
    "sc = init_spark_on_local(cores=4)\n",
    "ray_ctx = RayContext(sc=sc, object_store_memory=\"1g\")\n",
    "ray_ctx.init()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "== Status ==<br>Memory usage on this node: 60.4/125.5 GiB<br>Using FIFO scheduling algorithm.<br>Resources requested: 0/4 CPUs, 0/0 GPUs, 0.0/75.83 GiB heap, 0.0/0.63 GiB objects<br>Result logdir: /home/junweid/zoo_automl_logs/nyc_taxi_1next<br>Number of trials: 3 (3 TERMINATED)<br><table>\n",
       "<thead>\n",
       "<tr><th>Trial name      </th><th>status    </th><th>loc  </th><th style=\"text-align: right;\">  batch_size</th><th style=\"text-align: right;\">  dropout_2</th><th style=\"text-align: right;\">        lr</th><th style=\"text-align: right;\">  lstm_1_units</th><th style=\"text-align: right;\">  lstm_2_units</th><th>selected_features                                                                              </th><th style=\"text-align: right;\">  iter</th><th style=\"text-align: right;\">  total time (s)</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "<tr><td>train_func_00000</td><td>TERMINATED</td><td>     </td><td style=\"text-align: right;\">          64</td><td style=\"text-align: right;\">   0.343296</td><td style=\"text-align: right;\">0.00968964</td><td style=\"text-align: right;\">            64</td><td style=\"text-align: right;\">            16</td><td>[&quot;IS_BUSY_HOURS(timestamp)&quot;, &quot;IS_WEEKEND(timestamp)&quot;, &quot;DAY(timestamp)&quot;]                        </td><td style=\"text-align: right;\">    10</td><td style=\"text-align: right;\">         58.1709</td></tr>\n",
       "<tr><td>train_func_00001</td><td>TERMINATED</td><td>     </td><td style=\"text-align: right;\">          64</td><td style=\"text-align: right;\">   0.287292</td><td style=\"text-align: right;\">0.00990106</td><td style=\"text-align: right;\">            16</td><td style=\"text-align: right;\">            32</td><td>[&quot;HOUR(timestamp)&quot;, &quot;IS_AWAKE(timestamp)&quot;, &quot;IS_BUSY_HOURS(timestamp)&quot;, &quot;IS_WEEKEND(timestamp)&quot;]</td><td style=\"text-align: right;\">    10</td><td style=\"text-align: right;\">         55.9788</td></tr>\n",
       "<tr><td>train_func_00002</td><td>TERMINATED</td><td>     </td><td style=\"text-align: right;\">          64</td><td style=\"text-align: right;\">   0.381359</td><td style=\"text-align: right;\">0.00997521</td><td style=\"text-align: right;\">           128</td><td style=\"text-align: right;\">            64</td><td>[&quot;IS_BUSY_HOURS(timestamp)&quot;, &quot;HOUR(timestamp)&quot;, &quot;DAY(timestamp)&quot;]                              </td><td style=\"text-align: right;\">    10</td><td style=\"text-align: right;\">         59.3816</td></tr>\n",
       "</tbody>\n",
       "</table><br><br>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "best log dir is  /home/junweid/zoo_automl_logs/nyc_taxi_1next/train_func_0_batch_size=64,dropout_2=0.3433,lr=0.0096896,lstm_1_units=64,lstm_2_units=16,selected_features=[\"IS_BUSY_HOURS(timesta_2020-10-27_17-20-14zxy58xt0\n",
      "The best configurations are:\n",
      "selected_features : [\"IS_BUSY_HOURS(timestamp)\", \"IS_WEEKEND(timestamp)\", \"DAY(timestamp)\"]\n",
      "model : LSTM\n",
      "lstm_1_units : 64\n",
      "dropout_1 : 0.2\n",
      "lstm_2_units : 16\n",
      "dropout_2 : 0.343295879477865\n",
      "lr : 0.009689639750944525\n",
      "batch_size : 64\n",
      "epochs : 2\n",
      "past_seq_len : 5\n",
      "WARNING:tensorflow:From /home/junweid/anaconda3/envs/automl/lib/python3.6/site-packages/tensorflow_core/python/ops/init_ops.py:97: calling GlorotUniform.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Call initializer instance with the dtype argument instead of passing it to the constructor\n",
      "WARNING:tensorflow:From /home/junweid/anaconda3/envs/automl/lib/python3.6/site-packages/tensorflow_core/python/ops/init_ops.py:97: calling Orthogonal.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Call initializer instance with the dtype argument instead of passing it to the constructor\n",
      "WARNING:tensorflow:From /home/junweid/anaconda3/envs/automl/lib/python3.6/site-packages/tensorflow_core/python/ops/init_ops.py:97: calling Zeros.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Call initializer instance with the dtype argument instead of passing it to the constructor\n",
      "WARNING:tensorflow:From /home/junweid/anaconda3/envs/automl/lib/python3.6/site-packages/tensorflow_core/python/ops/resource_variable_ops.py:1630: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "If using Keras pass *_constraint arguments to layers.\n",
      "WARNING:tensorflow:OMP_NUM_THREADS is no longer used by the default Keras config. To configure the number of threads, use tf.config.threading APIs.\n",
      "WARNING:tensorflow:From /home/junweid/anaconda3/envs/automl/lib/python3.6/site-packages/tensorflow_core/python/ops/math_grad.py:1424: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use tf.where in 2.0, which has the same broadcast rule as np.where\n",
      "Training completed.\n",
      "CPU times: user 7.46 s, sys: 859 ms, total: 8.32 s\n",
      "Wall time: 2min\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "from zoo.automl.config.recipe import LSTMGridRandomRecipe\n",
    "# fit train_df and validate with val_df, return the best trial as pipeline.\n",
    "# the default recipe is SmokeRecipe,which runs one epoch and one iteration with only 1 random sample.\n",
    "# you can change recipe by define `recipe` in `fit`. The recipes you can choose are SmokeRecipe, RandomRecipe, LSTMGridRandomRecipe, GridRandomRecipe and BayesRecipe.\n",
    "look_back_single = 5\n",
    "pipeline = tsp.fit(train_df,\n",
    "                   validation_df=val_df,\n",
    "                   metric=\"mse\",\n",
    "                   recipe=LSTMGridRandomRecipe(\n",
    "                              num_rand_samples=1,\n",
    "                              epochs=2,\n",
    "                              look_back=look_back_single, \n",
    "                              batch_size=[64]))\n",
    "print(\"Training completed.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We provided a leaderboard visualization tool based on tensorboard. You can install tensorboard and run the following code to view the hparams tag in tensorboard. <br>\n",
    "`logs_dir` is the log directory you set for your predictor(i.e. TimeSequencePredictor), in this case \"/home/`username`/zoo_automl_logs\", where `username` is your login username. `job_name` is your predictor name, which in this case is \"nyc_taxi_1next\". A typical interface is shown below"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "#%load_ext tensorboard\n",
    "#%tensorboard --logdir <logs_dir>/<job_name>_leaderboard/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![jupyter](./vis_demo.PNG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# predict test_df with the best trial\n",
    "pred_df = pipeline.predict(test_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015-01-10 14:30:00</td>\n",
       "      <td>19987.669922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015-01-10 15:00:00</td>\n",
       "      <td>21469.455078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015-01-10 15:30:00</td>\n",
       "      <td>22190.328125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015-01-10 16:00:00</td>\n",
       "      <td>23139.599609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015-01-10 16:30:00</td>\n",
       "      <td>20447.582031</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            timestamp         value\n",
       "0 2015-01-10 14:30:00  19987.669922\n",
       "1 2015-01-10 15:00:00  21469.455078\n",
       "2 2015-01-10 15:30:00  22190.328125\n",
       "3 2015-01-10 16:00:00  23139.599609\n",
       "4 2015-01-10 16:30:00  20447.582031"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pred_df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2015-01-10 14:30:00</td>\n",
       "      <td>22371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2015-01-10 15:00:00</td>\n",
       "      <td>23119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2015-01-10 15:30:00</td>\n",
       "      <td>23941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2015-01-10 16:00:00</td>\n",
       "      <td>22728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2015-01-10 16:30:00</td>\n",
       "      <td>20126</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            timestamp  value\n",
       "5 2015-01-10 14:30:00  22371\n",
       "6 2015-01-10 15:00:00  23119\n",
       "7 2015-01-10 15:30:00  23941\n",
       "8 2015-01-10 16:00:00  22728\n",
       "9 2015-01-10 16:30:00  20126"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# prediction value start from look_back_single\n",
    "test_df[look_back_single:look_back_single+5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the predicted values and actual values\n",
    "plot_result(test_df, pred_df,past_seq_len=look_back_single)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Evaluate: the mean square error is 1247284.2756252205\n",
      "Evaluate: the smape value is 6.448152064835054\n"
     ]
    }
   ],
   "source": [
    "# evaluate test_df\n",
    "mse, smape = pipeline.evaluate(test_df, metrics=[\"mse\", \"smape\"])\n",
    "print(\"Evaluate: the mean square error is\", mse)\n",
    "print(\"Evaluate: the smape value is\", smape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. save and restore"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We provide save and restore interface to save the pipeline with the best trial for easily rebuilding."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Pipeline is saved in /tmp/saved_pipeline/my.ppl\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'/tmp/saved_pipeline/my.ppl'"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# save the pipeline with best trial\n",
    "pipeline.save(\"/tmp/saved_pipeline/my.ppl\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Restore pipeline from /tmp/saved_pipeline/my.ppl\n"
     ]
    }
   ],
   "source": [
    "from zoo.automl.pipeline.time_sequence import load_ts_pipeline\n",
    "new_pipeline = load_ts_pipeline(\"/tmp/saved_pipeline/my.ppl\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# you can do predict and evaluate again\n",
    "# we use test_df as input in order to compare results before and after restoration \n",
    "new_pred = new_pipeline.predict(test_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015-01-10 14:30:00</td>\n",
       "      <td>19987.669922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015-01-10 15:00:00</td>\n",
       "      <td>21469.455078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015-01-10 15:30:00</td>\n",
       "      <td>22190.328125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015-01-10 16:00:00</td>\n",
       "      <td>23139.599609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015-01-10 16:30:00</td>\n",
       "      <td>20447.582031</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            timestamp         value\n",
       "0 2015-01-10 14:30:00  19987.669922\n",
       "1 2015-01-10 15:00:00  21469.455078\n",
       "2 2015-01-10 15:30:00  22190.328125\n",
       "3 2015-01-10 16:00:00  23139.599609\n",
       "4 2015-01-10 16:30:00  20447.582031"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_pred.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Evaluate: the mean square error is 1247284.2756252205\n",
      "Evaluate: the smape value is 6.448152064835054\n"
     ]
    }
   ],
   "source": [
    "# evaluate test_df\n",
    "mse, smape = new_pipeline.evaluate(test_df, metrics=[\"mse\", \"smape\"])\n",
    "print(\"Evaluate: the mean square error is\", mse)\n",
    "print(\"Evaluate: the smape value is\", smape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. continue training"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We support continue training with incremental data using the best configuration searched and the trained model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "**** Initialization info ****\n",
      "future_seq_len: 1\n",
      "dt_col: timestamp\n",
      "target_col: ['value']\n",
      "extra_features_col: None\n",
      "drop_missing: True\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# review the initialization infomation if needed\n",
    "new_pipeline.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 1027 samples\n",
      "Epoch 1/5\n",
      "1027/1027 [==============================] - 1s 924us/sample - loss: 0.0558 - mean_squared_error: 0.0558\n",
      "Epoch 2/5\n",
      "1027/1027 [==============================] - 0s 309us/sample - loss: 0.0610 - mean_squared_error: 0.0610\n",
      "Epoch 3/5\n",
      "1027/1027 [==============================] - 0s 277us/sample - loss: 0.0531 - mean_squared_error: 0.0531\n",
      "Epoch 4/5\n",
      "1027/1027 [==============================] - 0s 306us/sample - loss: 0.0568 - mean_squared_error: 0.0568\n",
      "Epoch 5/5\n",
      "1027/1027 [==============================] - 0s 310us/sample - loss: 0.0550 - mean_squared_error: 0.0550\n",
      "Fit done!\n"
     ]
    }
   ],
   "source": [
    "# Use val_df as incremental data\n",
    "new_pipeline.fit(val_df,epoch_num=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# predict results of test_df\n",
    "new_pred_df = new_pipeline.predict(test_df)\n",
    "plot_result(test_df, new_pred_df,past_seq_len = look_back_single)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Evaluate: the mean square error is 1535574.8748787362\n",
      "Evaluate: the smape value is 6.579935691028327\n"
     ]
    }
   ],
   "source": [
    "# evaluate test_df\n",
    "mse, smape = new_pipeline.evaluate(test_df, metrics=[\"mse\", \"smape\"])\n",
    "print(\"Evaluate: the mean square error is\", mse)\n",
    "print(\"Evaluate: the smape value is\", smape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6. multi step forecasting "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can do multi step forecasting by simply changing the `future_seq_len` option while creating a new `TimeSequencePredictor` object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "# build time sequence predictor\n",
    "from zoo.automl.regression.time_sequence_predictor import *\n",
    "\n",
    "# change future_seq_len into the step you want to forcast.\n",
    "tsp = TimeSequencePredictor(name=\"nyc_taxi_10next\",\n",
    "                            logs_dir=\"~/zoo_automl_logs\",\n",
    "                            future_seq_len=5,\n",
    "                            dt_col=\"timestamp\",\n",
    "                            target_col=\"value\",\n",
    "                            extra_features_col=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "== Status ==<br>Memory usage on this node: 60.5/125.5 GiB<br>Using FIFO scheduling algorithm.<br>Resources requested: 0/4 CPUs, 0/0 GPUs, 0.0/75.83 GiB heap, 0.0/0.63 GiB objects<br>Result logdir: /home/junweid/zoo_automl_logs/nyc_taxi_10next<br>Number of trials: 9 (9 TERMINATED)<br><table>\n",
       "<thead>\n",
       "<tr><th>Trial name      </th><th>status    </th><th>loc  </th><th style=\"text-align: right;\">  batch_size</th><th style=\"text-align: right;\">  dropout_2</th><th style=\"text-align: right;\">        lr</th><th style=\"text-align: right;\">  lstm_1_units</th><th style=\"text-align: right;\">  lstm_2_units</th><th>selected_features                                                                                                                                          </th><th style=\"text-align: right;\">  iter</th><th style=\"text-align: right;\">  total time (s)</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "<tr><td>train_func_00000</td><td>TERMINATED</td><td>     </td><td style=\"text-align: right;\">          64</td><td style=\"text-align: right;\">   0.438374</td><td style=\"text-align: right;\">0.00270206</td><td style=\"text-align: right;\">            16</td><td style=\"text-align: right;\">            16</td><td>[&quot;IS_BUSY_HOURS(timestamp)&quot;, &quot;MONTH(timestamp)&quot;, &quot;DAY(timestamp)&quot;, &quot;IS_WEEKEND(timestamp)&quot;, &quot;HOUR(timestamp)&quot;, &quot;IS_AWAKE(timestamp)&quot;, &quot;WEEKDAY(timestamp)&quot;]</td><td style=\"text-align: right;\">    10</td><td style=\"text-align: right;\">         91.2587</td></tr>\n",
       "<tr><td>train_func_00001</td><td>TERMINATED</td><td>     </td><td style=\"text-align: right;\">          64</td><td style=\"text-align: right;\">   0.462973</td><td style=\"text-align: right;\">0.006518  </td><td style=\"text-align: right;\">            32</td><td style=\"text-align: right;\">            32</td><td>[&quot;IS_WEEKEND(timestamp)&quot;, &quot;WEEKDAY(timestamp)&quot;, &quot;DAY(timestamp)&quot;, &quot;MONTH(timestamp)&quot;, &quot;IS_BUSY_HOURS(timestamp)&quot;]                                          </td><td style=\"text-align: right;\">    10</td><td style=\"text-align: right;\">         92.4099</td></tr>\n",
       "<tr><td>train_func_00002</td><td>TERMINATED</td><td>     </td><td style=\"text-align: right;\">          64</td><td style=\"text-align: right;\">   0.424501</td><td style=\"text-align: right;\">0.00637147</td><td style=\"text-align: right;\">            32</td><td style=\"text-align: right;\">            64</td><td>[&quot;HOUR(timestamp)&quot;, &quot;MONTH(timestamp)&quot;, &quot;IS_BUSY_HOURS(timestamp)&quot;, &quot;DAY(timestamp)&quot;, &quot;IS_WEEKEND(timestamp)&quot;, &quot;IS_AWAKE(timestamp)&quot;]                      </td><td style=\"text-align: right;\">    10</td><td style=\"text-align: right;\">         92.5056</td></tr>\n",
       "<tr><td>train_func_00003</td><td>TERMINATED</td><td>     </td><td style=\"text-align: right;\">          64</td><td style=\"text-align: right;\">   0.453395</td><td style=\"text-align: right;\">0.0035188 </td><td style=\"text-align: right;\">            64</td><td style=\"text-align: right;\">            16</td><td>[&quot;IS_BUSY_HOURS(timestamp)&quot;, &quot;IS_WEEKEND(timestamp)&quot;, &quot;WEEKDAY(timestamp)&quot;, &quot;MONTH(timestamp)&quot;, &quot;IS_AWAKE(timestamp)&quot;]                                     </td><td style=\"text-align: right;\">    10</td><td style=\"text-align: right;\">         95.1233</td></tr>\n",
       "<tr><td>train_func_00004</td><td>TERMINATED</td><td>     </td><td style=\"text-align: right;\">          64</td><td style=\"text-align: right;\">   0.468484</td><td style=\"text-align: right;\">0.00325362</td><td style=\"text-align: right;\">            16</td><td style=\"text-align: right;\">            32</td><td>[&quot;WEEKDAY(timestamp)&quot;, &quot;IS_BUSY_HOURS(timestamp)&quot;, &quot;IS_AWAKE(timestamp)&quot;, &quot;DAY(timestamp)&quot;, &quot;HOUR(timestamp)&quot;, &quot;IS_WEEKEND(timestamp)&quot;, &quot;MONTH(timestamp)&quot;]</td><td style=\"text-align: right;\">    10</td><td style=\"text-align: right;\">         90.8977</td></tr>\n",
       "<tr><td>train_func_00005</td><td>TERMINATED</td><td>     </td><td style=\"text-align: right;\">          64</td><td style=\"text-align: right;\">   0.235612</td><td style=\"text-align: right;\">0.00565748</td><td style=\"text-align: right;\">           128</td><td style=\"text-align: right;\">            64</td><td>[&quot;MONTH(timestamp)&quot;, &quot;WEEKDAY(timestamp)&quot;, &quot;IS_BUSY_HOURS(timestamp)&quot;]                                                                                     </td><td style=\"text-align: right;\">    10</td><td style=\"text-align: right;\">        103.511 </td></tr>\n",
       "<tr><td>train_func_00006</td><td>TERMINATED</td><td>     </td><td style=\"text-align: right;\">          64</td><td style=\"text-align: right;\">   0.371246</td><td style=\"text-align: right;\">0.00300692</td><td style=\"text-align: right;\">            16</td><td style=\"text-align: right;\">            16</td><td>[&quot;IS_WEEKEND(timestamp)&quot;, &quot;WEEKDAY(timestamp)&quot;, &quot;IS_AWAKE(timestamp)&quot;, &quot;HOUR(timestamp)&quot;, &quot;IS_BUSY_HOURS(timestamp)&quot;, &quot;DAY(timestamp)&quot;]                    </td><td style=\"text-align: right;\">    10</td><td style=\"text-align: right;\">         87.912 </td></tr>\n",
       "<tr><td>train_func_00007</td><td>TERMINATED</td><td>     </td><td style=\"text-align: right;\">          64</td><td style=\"text-align: right;\">   0.263582</td><td style=\"text-align: right;\">0.00495997</td><td style=\"text-align: right;\">            16</td><td style=\"text-align: right;\">            32</td><td>[&quot;HOUR(timestamp)&quot;, &quot;IS_WEEKEND(timestamp)&quot;, &quot;DAY(timestamp)&quot;, &quot;MONTH(timestamp)&quot;]                                                                         </td><td style=\"text-align: right;\">    10</td><td style=\"text-align: right;\">         88.089 </td></tr>\n",
       "<tr><td>train_func_00008</td><td>TERMINATED</td><td>     </td><td style=\"text-align: right;\">          64</td><td style=\"text-align: right;\">   0.215221</td><td style=\"text-align: right;\">0.004503  </td><td style=\"text-align: right;\">           128</td><td style=\"text-align: right;\">            64</td><td>[&quot;IS_WEEKEND(timestamp)&quot;, &quot;IS_AWAKE(timestamp)&quot;, &quot;HOUR(timestamp)&quot;, &quot;WEEKDAY(timestamp)&quot;]                                                                  </td><td style=\"text-align: right;\">    10</td><td style=\"text-align: right;\">         97.9014</td></tr>\n",
       "</tbody>\n",
       "</table><br><br>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "best log dir is  /home/junweid/zoo_automl_logs/nyc_taxi_10next/train_func_8_batch_size=64,dropout_2=0.21522,lr=0.004503,lstm_1_units=128,lstm_2_units=64,selected_features=[\"IS_WEEKEND(timestamp_2020-10-27_17-28-34uoq4yt6_\n",
      "The best configurations are:\n",
      "selected_features : [\"IS_WEEKEND(timestamp)\", \"IS_AWAKE(timestamp)\", \"HOUR(timestamp)\", \"WEEKDAY(timestamp)\"]\n",
      "model : LSTM\n",
      "lstm_1_units : 128\n",
      "dropout_1 : 0.2\n",
      "lstm_2_units : 64\n",
      "dropout_2 : 0.21522082074874696\n",
      "lr : 0.00450300474057594\n",
      "batch_size : 64\n",
      "epochs : 2\n",
      "past_seq_len : 10\n",
      "Training completed.\n",
      "CPU times: user 26.6 s, sys: 3.06 s, total: 29.6 s\n",
      "Wall time: 7min 54s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# you can specify the look back sequence length with a single number or a range of (min_len, max_len) in recipe.\n",
    "look_back_multi = 10\n",
    "pipeline = tsp.fit(train_df,\n",
    "                   validation_df=val_df,\n",
    "                   metric=\"mse\",\n",
    "                   recipe=LSTMGridRandomRecipe(\n",
    "                              num_rand_samples=3,\n",
    "                              epochs=2,\n",
    "                              look_back=10,\n",
    "                              training_iteration=look_back_multi,\n",
    "                              batch_size=[64]))\n",
    "print(\"Training completed.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "# test\n",
    "# predict test_df with the best trial\n",
    "pred_df = pipeline.predict(test_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>value_0</th>\n",
       "      <th>value_1</th>\n",
       "      <th>value_2</th>\n",
       "      <th>value_3</th>\n",
       "      <th>value_4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015-01-10 17:00:00</td>\n",
       "      <td>19249.835938</td>\n",
       "      <td>21114.052734</td>\n",
       "      <td>23613.654297</td>\n",
       "      <td>25607.082031</td>\n",
       "      <td>26627.437500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015-01-10 17:30:00</td>\n",
       "      <td>22236.519531</td>\n",
       "      <td>24221.685547</td>\n",
       "      <td>26026.585938</td>\n",
       "      <td>27045.074219</td>\n",
       "      <td>27041.220703</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015-01-10 18:00:00</td>\n",
       "      <td>24792.716797</td>\n",
       "      <td>26103.953125</td>\n",
       "      <td>26984.027344</td>\n",
       "      <td>27147.615234</td>\n",
       "      <td>26466.898438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015-01-10 18:30:00</td>\n",
       "      <td>26697.785156</td>\n",
       "      <td>27112.476562</td>\n",
       "      <td>27038.066406</td>\n",
       "      <td>26510.792969</td>\n",
       "      <td>25568.296875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015-01-10 19:00:00</td>\n",
       "      <td>27221.308594</td>\n",
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       "      <td>25170.734375</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            timestamp       value_0       value_1       value_2       value_3  \\\n",
       "0 2015-01-10 17:00:00  19249.835938  21114.052734  23613.654297  25607.082031   \n",
       "1 2015-01-10 17:30:00  22236.519531  24221.685547  26026.585938  27045.074219   \n",
       "2 2015-01-10 18:00:00  24792.716797  26103.953125  26984.027344  27147.615234   \n",
       "3 2015-01-10 18:30:00  26697.785156  27112.476562  27038.066406  26510.792969   \n",
       "4 2015-01-10 19:00:00  27221.308594  26916.472656  26282.367188  25663.359375   \n",
       "\n",
       "        value_4  \n",
       "0  26627.437500  \n",
       "1  27041.220703  \n",
       "2  26466.898438  \n",
       "3  25568.296875  \n",
       "4  25170.734375  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pred_df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot multi step predicted values and actual values\n",
    "# plot at most five step predict values for better view\n",
    "plot_less_five_step_result(test_df, pred_df,past_seq_len=look_back_multi)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot only the first and the last step predict values and actual values\n",
    "plot_first_last_step_result(test_df, pred_df, past_seq_len=look_back_multi)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Evaluate: the mean square error is [1182468.12080232 1783201.05332362 2626383.83348229 3701210.10888295\n",
      " 4976080.26907611]\n",
      "Evaluate: the smape value is [5.53655218 6.2075273  7.39114794 8.92548357 9.82487902]\n"
     ]
    }
   ],
   "source": [
    "# evaluate test_df\n",
    "mse, smape = pipeline.evaluate(test_df, metrics=[\"mse\", \"smape\"])\n",
    "print(\"Evaluate: the mean square error is\", mse)\n",
    "print(\"Evaluate: the smape value is\", smape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "ray_ctx.stop()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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